Bioinformatics Principal Scientist (San Francisco) Job at Skills Alliance, San Francisco, CA

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  • Skills Alliance
  • San Francisco, CA

Job Description

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Skills Alliance Enterprise provided pay range

This range is provided by Skills Alliance Enterprise. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $190,000.00/yr

About the Role:

As a Bioinformatics Principal Scientist on our Computational Biology team, you will advance our genetic medicine technologies, enabling the discovery and development of new therapeutics. Working with a diverse team of cell biologists, protein and RNA engineers, computational scientists, molecular biologists, and translational biologists, you will:

  • Manage or Leading a Team of 3-4+
  • Be an effective leader and translator when discussing analytical methods, genomics, data science, and software with colleagues from diverse scientific backgrounds
  • Develop computational pipelines, tools, visualizations, and statistical methods to advance gene editing programs
  • Serve as a resource and thought leader at the intersection of protein engineering, computational modeling, experimental design, and software development.
  • Support end users across a spectrum of computational abilities, from bioinformatics scientists to colleagues without any scripting or computational experience
  • Integrate standard bioinformatics and laboratory information management (LIMS) tools when appropriate and contribute to custom software solutions when necessary
  • Oversee the configuration and maintenance of local and cloud IT infrastructure, including dedicated environments for computational biology, modeling, and software development.
  • Remain focused on the creation of viable therapeutic products that change the lives of patients.

Requirements:

  • PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, or related fields.
  • Eight years’ experience driving the development of analytical methods and analyses in an industry setting
  • A solid understanding of data science best practices and tools, including NumPy, SciPy, and related
  • Exposure to the software development through an agile process of assessing end user needs and prototyping

Preferred Qualifications:

  • Experience developing computational pipelines for genomic applications
  • Experience with NGS sequencing, long read sequencing, RNA-Seq, and related assays
  • Exposure to LIMS development and configuration in a biotechnology setting
  • Experience supporting laboratory automation systems

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Science

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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Job Tags

Full time, Local area, Remote job,

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